A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows
This paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related t...
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doaj-7cbdd77ea8c74dadb1eb51ea5f715e852021-03-30T04:22:27ZengIEEEIEEE Access2169-35362020-01-01822799922800810.1109/ACCESS.2020.30459829300042A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time WindowsZhenhua Zhang0Shiguo Peng1https://orcid.org/0000-0001-7129-7460Tao Chen2School of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaThis paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related to ITWs is proposed, which is inspired by the average impulsive interval. Based on ALEI and Lyapunov stability theory, a unified mean square consensus criterion for both stabilizing and interference impulses is attained. The introduction of ALEI allows for a larger upper bound of left endpoint interval and smaller lower bound of left endpoint interval, which makes the preset of ITWs more flexible and less conservative. The validity of the theoretical results is verified by the numerical simulation.https://ieeexplore.ieee.org/document/9300042/Stochastic multi-agent systemsrandomly occurring uncertaintiesrandomly occurring nonlinearitiesimpulse time windowsleader-following mean square consensus |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhenhua Zhang Shiguo Peng Tao Chen |
spellingShingle |
Zhenhua Zhang Shiguo Peng Tao Chen A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows IEEE Access Stochastic multi-agent systems randomly occurring uncertainties randomly occurring nonlinearities impulse time windows leader-following mean square consensus |
author_facet |
Zhenhua Zhang Shiguo Peng Tao Chen |
author_sort |
Zhenhua Zhang |
title |
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows |
title_short |
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows |
title_full |
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows |
title_fullStr |
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows |
title_full_unstemmed |
A Unified Mean Square Consensus Criterion for Stochastic Multi-Agent Systems With ROUs and RONs Under Impulse Time Windows |
title_sort |
unified mean square consensus criterion for stochastic multi-agent systems with rous and rons under impulse time windows |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
This paper probes into the leader-following mean square consensus problem of stochastic multi-agent systems with randomly occurring uncertainties (ROUs) and randomly occurring nonlinearities (RONs) under impulse time windows (ITWs). A new concept named average left endpoint interval (ALEI) related to ITWs is proposed, which is inspired by the average impulsive interval. Based on ALEI and Lyapunov stability theory, a unified mean square consensus criterion for both stabilizing and interference impulses is attained. The introduction of ALEI allows for a larger upper bound of left endpoint interval and smaller lower bound of left endpoint interval, which makes the preset of ITWs more flexible and less conservative. The validity of the theoretical results is verified by the numerical simulation. |
topic |
Stochastic multi-agent systems randomly occurring uncertainties randomly occurring nonlinearities impulse time windows leader-following mean square consensus |
url |
https://ieeexplore.ieee.org/document/9300042/ |
work_keys_str_mv |
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